Senior Engineer SRE / Devops

• Manage platform modernization initiatives including containerization, service mesh adoption and migration to microservices and serverless infrastructure.
• Design and implement robust CI/CD pipelines and self-service DevOps platforms to streamline software delivery across environments.
• Develop and manage Infrastructure as a Code (IaaC) using tools like Terraform or CloudFormation for scalable and repeatable deployments.
• Automate infrastructure provisioning, configuration management and operations using tools like Ansible, Chef or Puppet.
• Leverage AI/ML-driven automation for predictive alerting, anomaly detection, auto-scaling and intelligent incident response.

• Embed security and compliance into DevOps workflows by adopting DevSecOps practices throughout the software development lifecycle.
• Evaluate emerging technologies and methodologies to improve system reliability, developer experience and platform scalability.
• Participate in SRE on-call rotations, production support and post-incident reviews to continuously improve system resilience.
• Build internal tools and automation solutions to enhance platform observability and operational efficiency.
• Identify and resolve performance bottlenecks and lead root cause analysis efforts for critical incidents.
• Collaborate cross-functionally with engineering, architecture and security teams to drive best practices and architectural alignment.
• Support disaster recovery planning, backup strategy implementation and compliance initiatives (e.g., SOC2, ISO).
• Mentor junior engineers, promote knowledge sharing and foster a culture of engineering excellence.

• 4–6 years of experience in DevOps, SRE or platform engineering roles with a software engineering mindset.
• Hands-on expertise in Kubernetes, Docker and service mesh architectures (Istio, Linkerd).
• Expertise in CI/CD tools such as Jenkins, ArgoCD, Spinnaker or similar tools for automating and managing deployment workflows.
• Experience with observability stacks (Prometheus, Grafana, ELK, Loki or Datadog) for monitoring, logging and alerting.
• Good understanding of AIOps and ML-driven automation, including anomaly detection, intelligent alerting and predictive incident response
• Strong problem-solving and debugging skills, particularly in complex, production-grade distributed systems
• Expertise in Infrastructure as a Code (IaaC) using tools like Terraform or Pulumi and proficiency in configuration management with Ansible, Puppet or similar tools.
• Familiarity with event-driven architectures using tools like Kafka or cloud-native pub/sub messaging systems.
• Good understanding of cloud cost optimization and efficiency practices through automation and resource management.
• Experience integrating security scanning and compliance checks into CI/CD pipelines using tools like Trivy, Snyk or arnica.

• Work on impactful infrastructure and DevOps challenges at scale.
• Build infrastructure that enables fast, reliable and responsible deployment of AI solutions.
• Be part of a culture that champions engineering excellence, ownership and continuous learning.
• Help shape the future of DevOps and AI integration in a fast-moving, innovation-focused environment.
• Collaborate with architects and DevOps leaders on strategic initiatives.
• Be part of a team building intelligent, resilient platforms using cutting-edge DevOps and AI technologies.

Apna